Price from the distribution
The average request is not the commercial risk. The expensive tail, retries, context growth, and peak concurrency decide whether a price can survive real customer behavior.
P90 is AI Pricing Operations for product, finance, and engineering teams that need one operating view of AI cost variance, margin exposure, and pricing decisions.
AI products can look profitable in aggregate while a small group of users, a retry cascade, a growing context window, or an infrastructure peak quietly erodes margin. P90 exists to make that exposure visible before it becomes a pricing or growth problem.
A workspace represents one product. Organizations hold multiple products. Each product can send telemetry through the SDK, connect provider and revenue data, or give an internal assistant bounded MCP access to its monitoring context.
The average request is not the commercial risk. The expensive tail, retries, context growth, and peak concurrency decide whether a price can survive real customer behavior.
Core cost calculations, pricing floors, tier boundaries, and margin scenarios are deterministic. Teams should be able to trace a recommendation back to operational evidence.
P90 can monitor, detect, simulate, and recommend. It does not make a pricing change by itself. A person reviews the evidence and approves the selected option.
AI economics include retrieval, context construction, orchestration, retries, concurrency, evaluation, and revenue. Model token cost alone is not a pricing strategy.
Connect a product, model its cost stack, and use the dashboard to see where its pricing is exposed.